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ORCIDACCV 2020: Kyoto, Japan
- Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III. Lecture Notes in Computer Science 12624, Springer 2021, ISBN 978-3-030-69534-7
Recognition and Detection
- Xiang Li, Yasushi Makihara, Chi Xu
, Yasushi Yagi, Shiqi Yu, Mingwu Ren:
End-to-End Model-Based Gait Recognition. 3-20 - Gehan Hao, Yang Yang, Xue Zhou, Guan'an Wang, Zhen Lei:
Horizontal Flipping Assisted Disentangled Feature Learning for Semi-supervised Person Re-identification. 21-37 - Ali Varamesh, Tinne Tuytelaars:
MIX'EM: Unsupervised Image Classification Using a Mixture of Embeddings. 38-55 - Haoqin Ji, Weizeng Lu, Linlin Shen:
Backbone Based Feature Enhancement for Object Detection. 56-70 - Xuelin Qian, Wenxuan Wang, Li Zhang, Fangrui Zhu, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue:
Long-Term Cloth-Changing Person Re-identification. 71-88 - Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. 89-106 - Ye Zheng, Ruoran Huang, Chuanqi Han, Xi Huang, Li Cui:
Background Learnable Cascade for Zero-Shot Object Detection. 107-123 - Siqi Yang, Lin Wu, Arnold Wiliem, Brian C. Lovell:
Unsupervised Domain Adaptive Object Detection Using Forward-Backward Cyclic Adaptation. 124-142 - Zewen He, Rui Wu, Dingqian Zhang:
COG: COnsistent Data AuGmentation for Object Perception. 143-154 - Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman H. Khan, Syed Waqas Zamir, Fahad Shahbaz Khan:
Synthesizing the Unseen for Zero-Shot Object Detection. 155-170 - Deyu Wang, Dongchao Wen, Junjie Liu, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
Fully Supervised and Guided Distillation for One-Stage Detectors. 171-188 - Yuhki Hatakeyama, Hiroki Sakuma, Yoshinori Konishi, Kohei Suenaga:
Visualizing Color-Wise Saliency of Black-Box Image Classification Models. 189-205 - Joe Townsend, Theodoros Kasioumis, Hiroya Inakoshi:
ERIC: Extracting Relations Inferred from Convolutions. 206-222 - Yurun Tian, Vassileios Balntas, Tony Ng, Axel Barroso Laguna, Yiannis Demiris, Krystian Mikolajczyk:
D2D: Keypoint Extraction with Describe to Detect Approach. 223-240 - Jiahao Shi, Long Chen, Feng Su:
Accurate Arbitrary-Shaped Scene Text Detection via Iterative Polynomial Parameter Regression. 241-256 - Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino:
Adaptive Spotting: Deep Reinforcement Object Search in 3D Point Clouds. 257-272 - Tomas Vojir, Ignas Budvytis, Roberto Cipolla:
Efficient Large-Scale Semantic Visual Localization in 2D Maps. 273-288 - Weijia Wu, Ning Lu, Enze Xie, Yuxing Wang, Wenwen Yu, Cheng Yang, Hong Zhou:
Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild. 289-303 - Yanguang Bi, Zhiqiang Hu:
Scale-Aware Polar Representation for Arbitrarily-Shaped Text Detection. 304-321 - Zengming Tang, Jun Huang:
Branch Interaction Network for Person Re-identification. 322-337 - Jedrzej Kozerawski, Victor Fragoso, Nikolaos Karianakis, Gaurav Mittal, Matthew Turk, Mei Chen:
BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images. 338-355 - Qiannan Wang, Ying Zhou, Zhaoyan Zhu, Xuefeng Liang, Yu Gu:
Jointly Discriminating and Frequent Visual Representation Mining. 356-371 - Yang Shi, Xiushan Nie, Quan Zhou, Xiaoming Xi, Yilong Yin:
Discrete Spatial Importance-Based Deep Weighted Hashing. 372-387 - Jinhyeong Kim, Youngseok Kim, Dongsuk Kum:
Low-Level Sensor Fusion for 3D Vehicle Detection Using Radar Range-Azimuth Heatmap and Monocular Image. 388-402 - Yuyang Zhang, Jinge Wang, Shibiao Xu, Xiao Liu, Xiaopeng Zhang:
MLIFeat: Multi-level Information Fusion Based Deep Local Features. 403-419 - Lv Tang, Bo Li:
CLASS: Cross-Level Attention and Supervision for Salient Objects Detection. 420-436 - Go Irie, Daiki Ikami, Takahito Kawanishi, Kunio Kashino:
Cascaded Transposed Long-Range Convolutions for Monocular Depth Estimation. 437-453
Optimization, Statistical Methods, and Learning
- Christoph Raab, Philipp Väth, Peter Meier, Frank-Michael Schleif:
Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks. 457-473 - Jiechao Guan, Manli Zhang, Zhiwu Lu:
Large-Scale Cross-Domain Few-Shot Learning. 474-491 - Haoran Duan, Hui Li:
Channel Pruning for Accelerating Convolutional Neural Networks via Wasserstein Metric. 492-505 - Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford:
Progressive Batching for Efficient Non-linear Least Squares. 506-522 - Zhiwei Xu, Thalaiyasingam Ajanthan, Richard I. Hartley:
Fast and Differentiable Message Passing on Pairwise Markov Random Fields. 523-540 - David Uhlig, Michael Heizmann:
A Calibration Method for the Generalized Imaging Model with Uncertain Calibration Target Coordinates. 541-559 - Yuxuan Wu, Hideki Nakayama:
Graph-Based Heuristic Search for Module Selection Procedure in Neural Module Network. 560-575 - Erh-Chung Chen, Che-Rung Lee:
Towards Fast and Robust Adversarial Training for Image Classification. 576-591 - Nanyi Fei, Jiechao Guan, Zhiwu Lu, Yizhao Gao:
Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision. 592-608 - Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Nannan Zou, Emre Aksu, Miska M. Hannuksela:
Lossless Image Compression Using a Multi-scale Progressive Statistical Model. 609-622 - Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto:
Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to Rescue. 623-638
Robot Vision
- Satoshi Ito, Susumu Kubota:
Point Proposal Based Instance Segmentation with Rectangular Masks for Robot Picking Task. 641-653 - Inhan Kim, Hyemin Lee, Joonyeong Lee, Eunseop Lee, Daijin Kim:
Multi-task Learning with Future States for Vision-Based Autonomous Driving. 654-669 - Hao Liu, Dong Li, Jinzhang Peng, Qingjie Zhao, Lu Tian, Yi Shan:
MTNAS: Search Multi-task Networks for Autonomous Driving. 670-687 - Jiangtao Wang, Baihua Li, Yang Zhou, Emanuele Rocco, Qinggang Meng:
Compact and Fast Underwater Segmentation Network for Autonomous Underwater Vehicles. 688-703 - Leichen Wang, Bastian Goldluecke, Carsten Anklam:
L2R GAN: LiDAR-to-Radar Translation. 704-720 - Michal Nazarczuk, Krystian Mikolajczyk:
V2A - Vision to Action: Learning Robotic Arm Actions Based on Vision and Language. 721-736 - Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray:
To Filter Prune, or to Layer Prune, That Is the Question. 737-753
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